Browsing by Author "Somwe P"
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Item Accurate dried blood spots collection in the community using non-medically trained personnel could support scaling up routine viral load testing in resource limited settings.(2019) Sikombe K; Hantuba C; Musukuma K; Sharma A; Padian N; Holmes C; Czaicki N; Simbeza S; Somwe P; Bolton-Moore C; Sikazwe I; Geng E; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, United States of America.; Division of Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.; Center for Global Health and Quality, Georgetown University, Washington, District of Columbia, United States of America.; Division of Infectious Diseases, University of Alabama, Birmingham, Alabama, United States of America.; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)Regular plasma HIV-RNA testing for persons living with HIV on antiretroviral therapy (ART) is now the global standard, but as many as 60% of persons in Africa today on ART do not have access to standard laboratory HIV-RNA assays. As a result, patients in Zambia often receive treatment without any means of determining true virologic failure, which poses a risk of premature switch of ART regimens and widespread HIV drug resistance. Dry blood spots (DBS) on the other hand require unskilled personnel and less complex storage supply chain so are ideal to capture viral-load results from HIV patients outside clinic settings. We assess collection of DBS in the community using non-medically trained personnel (NMP) and documented challenges. We trained 23 NMP to collect DBS from lost to follow-up (LTFU) patients in 4 rural and urban Zambian districts. We developed a phlebotomy box to transport DBS without contamination at ambient temperature and concomitant training and standard operating procedures. We evaluated this through field observations, bi-weekly meetings, reports, and staff meetings. The laboratory assessed DBS quality for testing validity. We attempted to collect DBS from 357 participants in the community. Though individual reasons for refusal from the remaining 37% were not collected, NMPs reported privacy concerns, awkward box-size which drew attention in the community and fears of undisclosed uses of samples related to witchcraft and circulating narratives about past research. Successful DBS collection was not associated with patient gender, age, time on ART, enrolment CD4, facility. DBS viral-load collection by NMP is feasible in Zambia. Our training approach and assessments of NMP not part of the health system can be extended to patients by giving them more responsibility to manage their own differentiated care groups. Concerted efforts that compare collection of DBS by NMP to those collected by skilled-medical personnel are needed.Item Active TB case finding in a high burden setting; comparison of community and facility-based strategies in Lusaka, Zambia.(2020) Kagujje M; Chilukutu L; Somwe P; Mutale J; Chiyenu K; Lumpa M; Mwanza W; Muyoyeta M; Strategic Information Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)INTRODUCTION: We conducted an implementation science study to increase TB case detection through a combination of interventions at health facility and community levels. We determined the impact of the study in terms of additional cases detected and notification rate and compared the yield of bacteriologically confirmed TB of facility based and community based case finding. METHODOLOGY: Over a period of 18 months, similar case finding activities were conducted at George health facility in Lusaka Zambia and its catchment community, an informal peri-urban settlement. Activities included awareness and demand creation activities, TB screening with digital chest x-ray or symptom screening, sputum evaluation using geneXpert MTB/RIF, TB diagnosis and linkage to treatment. RESULTS: A total of 18,194 individuals were screened of which 9,846 (54.1%) were screened at the facility and 8,348 (45.9%) were screened in the community. The total number of TB cases diagnosed during the intervention period were 1,026, compared to 759 in the pre-intervention period; an additional 267 TB cases were diagnosed. Of the 563 bacteriologically confirmed TB cases diagnosed under the study, 515/563 (91.5%) and 48/563 (8.5%) were identified at the facility and in the community respectively (P<0.0001). The TB notification rate increased from 246 per 100,000 population pre-intervention to 395 per 100,000 population in the last year of the intervention. CONCLUSIONS: Facility active case finding was more effective in detecting TB cases than community active case finding. Strengthening health systems to appropriately identify and evaluate patients for TB needs to be optimised in high burden settings. At a minimum, provider initiated TB symptom screening with completion of the TB screening and diagnostic cascade should be provided at the health facility in high burden settings. Community screening needs to be systematic and targeted at high risk groups and communities with access barriers.Item COVID-19 vaccine uptake and associated risk factors among first antenatal care attendees in Zambia, 2021-2022: A repeated cross-sectional study.(2024) Tembo T; Somwe P; Bosomprah S; Heilmann E; Kalenga K; Moyo N; Kabamba B; Seffren V; Fwoloshi S; Rutagwera MR; Musunse M; Mwiinga L; Gutman JR; Hines JZ; Sikazwe I; Analysis Unit, Center for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Accra.; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.; Centers for Disease Control and Prevention, Lusaka, Zambia.; PATH, Lusaka, Zambia.; Reproductive, Maternal, Newborn and Child Health (RMNCH), Center for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; University Teaching Hospital, Ministry of Health, Lusaka, Zambia.; Center for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Strategic Information Unit, Center for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.Pregnant women are considered a high-risk group for COVID-19, and a priority for vaccination. Routine antenatal care (ANC) provides an opportunity to track trends and factors associated with vaccine uptake. We sought to evaluate COVID-19 vaccine uptake among pregnant women attending ANC and assess the factors associated with vaccine in Zambia. We conducted a repeated cross-sectional study in 39 public health facilities in four districts in Zambia from September 2021 to September 2022. Pregnant women who were aged 15-49 years were enrolled during their first ANC visit. Every month, ~20 women per facility were interviewed during individual HIV counseling and testing. We estimated vaccine uptake as the proportion of eligible participants who self-reported having received the COVID-19 vaccine. A total of 9,203 pregnant women were screened, of which 9,111 (99%) were eligible and had vaccination status. Of the 9,111 included in the analysis, 1,818 (20%) had received the COVID-19 vaccine during the study period, with a trend of increasing coverage with time (0.5% in September 2020, 27% in September 2022). Conversely, 3,789 (42%) reported not being offered a COVID-19 vaccine. We found that women aged 40-49 years, had no education or attained some primary school education, were not employed, and had prior COVID-19 infection were significantly associated with vaccine uptake. COVID-19 vaccine uptake among pregnant women was lower than estimates from the general population (27% across the four districts in September 2022), pointing to missed opportunities to protect this high-risk group. ANC visits were a viable point for conducting COVID-19 surveillance. Incorporating the vaccine as part of the routine ANC package might increase coverage in this group.Item Cross-sectional assessment of tuberculosis and HIV prevalence in 13 correctional facilities in Zambia.(2021-Sep-27) Kagujje M; Somwe P; Hatwiinda S; Bwalya J; Zgambo T; Thornicroft M; Bozzani FM; Moonga C; Muyoyeta M; Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.; Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia mkagujje@gmail.com.; Health directorate, Zambia Correctional Service, Lusaka, Zambia.; Strategic Information Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)OBJECTIVE: To determine the prevalence of tuberculosis (TB) and HIV in 13 Zambian correctional facilities. METHODS: Cross-sectional study. SETTING: 13 correctional facilities in seven of the 10 provinces in Zambia. PARTICIPANTS: All incarcerated individuals were eligible for TB and HIV screening and testing. Of the total study population of 9695 individuals, which represent 46.2% of total correctional population at the beginning of the study, 8267 and 8160 were screened for TB and HIV, respectively. INTERVENTIONS: TB and HIV screening and testing was done between July 2018 and February 2019. PRIMARY OUTCOME MEASURES: All forms of TB, bacteriologically confirmed TB, drug-resistant TB, HIV. RESULTS: Prevalence of all forms of TB and bacteriologically confirmed TB was 1599 (1340-1894) per 100 000 population and 1056 (847-1301) per 100 000 population, respectively. Among those with bacteriologically confirmed TB, 4.6% (1.3%-11.4%) had drug-resistant TB.There was no statistically significant difference in the prevalence of all forms of TB, bacteriologically confirmed TB and drug resistant TB between adults and juveniles: (p=0.82), (p=0.23), (p=0.68) respectively. Of the bacteriologically confirmed TB cases, 28.7% were asymptomatic. The prevalence of HIV was 14.3% (13.6%-15.1%). The prevalence of HIV among females was 1.8 times the prevalence of HIV among males (p=0.01). CONCLUSION: Compared with the study in 2011 which screened inmates representing 30% of the country's inmate population, then the prevalence of all forms of TB and HIV in correctional facilities has reduced by about 75% and 37.6%, respectively. However, compared with the general population, the prevalence of all forms of TB and HIV was 3.5 and 1.3 times higher, respectively. TB/HIV programmes in correctional facilities need further strengthening to include aspects of juvenile-specific TB programming and gender responsive HIV programming.Item Effects of implementing universal and rapid HIV treatment on initiation of antiretroviral therapy and retention in care in Zambia: a natural experiment using regression discontinuity.(2021-Dec) Mody A; Sikazwe I; Namwase AS; Wa Mwanza M; Savory T; Mwila A; Mulenga L; Herce ME; Mweebo K; Somwe P; Eshun-Wilson I; Sikombe K; Beres LK; Pry J; Holmes CB; Bolton-Moore C; Geng EH; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.; Department of Medicine, Georgetown University, Washington, DC, USA.; Zambian Ministry of Health, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA.; Center for Disease Control, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of Alabama, Birmingham, AL, USA.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA. Electronic address: aaloke.mody@wustl.edu.; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Universal testing and treatment (UTT) for all people living with HIV has only been assessed under experimental conditions in cluster-randomised trials. The public health effectiveness of UTT policies on the HIV care cascade under real-world conditions is not known. We assessed the real-world effectiveness of universal HIV treatment policies that were implemented in Zambia on Jan 1, 2017. METHODS: We used data from Zambia's routine electronic health record system to analyse antiretroviral therapy (ART)-naive adults who newly enrolled in HIV care up to 1 year before and after the implementation of universal treatment (ie, Jan 1, 2016, to Jan 1, 2018) at 117 clinics supported by the Centre for Infectious Disease Research in Zambia. We used a regression discontinuity design to estimate the effects of implementing UTT on same-day ART initiation, ART initiation within 1 month, and retention on ART at 12 months (defined as clinic attendance 9-15 months after enrolment and at least 6 months on ART), under the assumption that patients presenting immediately before and after UTT implementation were balanced on both measured and unmeasured characteristics. We did an instrumental variable analysis to estimate the effect of same-day ART initiation under routine conditions on 12-month retention on ART. FINDINGS: 65 673 newly enrolled patients with HIV (40 858 [62·2%] female, median age 32 years [IQR 26-39], median CD4 count 287 cells per μL [IQR 147-466]) were eligible for inclusion in the analyses; 31 145 enrolled before implementation of UTT, and 34 528 enrolled after UTT. Implementation of universal treatment increased same-day ART initiation from 41·7% to 74·8% (risk difference [RD] 33·1%, 95% CI 30·5-35·7), ART initiation by 1 month from 69·6% to 87·0% (RD 17·4%, 15·5-19·3), and 12-month retention on ART from 56·2% to 63·3% (RD 7·1%, 4·3-9·9). ART initiation rates became more uniform across patient subgroups after implementation of universal treatment, but heterogeneity in 12-month retention on ART between subgroups was unchanged. Instrumental variable analyses indicated that same-day ART initiation in routine settings led to a 15·8% increase (95% CI 12·1-19·5) in 12-month retention on ART. INTERPRETATION: UTT policies implemented in Zambia increased the rapidity and uptake of ART, as well as retention on ART at 12 months, although overall retention on ART remained suboptimal. UTT policies reduced disparities in treatment initiation, but not 12-month retention on ART. Natural experiments reveal both the anticipated and unanticipated effects of real-world implementation and indicate the need for new strategies leveraging the short-term effects of UTT to cultivate long-term treatment success. FUNDING: National Institutes of Health.Item Estimating the real-world effects of expanding antiretroviral treatment eligibility: Evidence from a regression discontinuity analysis in Zambia.(2018-Jun) Mody A; Sikazwe I; Czaicki NL; Wa Mwanza M; Savory T; Sikombe K; Beres LK; Somwe P; Roy M; Pry JM; Padian N; Bolton-Moore C; Holmes CB; Geng EH; Department of Public Health, University of California, Davis, Davis, California, United States of America.; Division of Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.; Department of International Health, Johns Hopkins University School of Public Health, Baltimore, Maryland, United States of America.; Division of HIV, ID and Global Medicine, University of California, San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, United States of America.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, University of Alabama, Birmingham, Alabama, United States of America.; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Although randomized trials have established the clinical efficacy of treating all persons living with HIV (PLWHs), expanding treatment eligibility in the real world may have additional behavioral effects (e.g., changes in retention) or lead to unintended consequences (e.g., crowding out sicker patients owing to increased patient volume). Using a regression discontinuity design, we sought to assess the effects of a previous change to Zambia's HIV treatment guidelines increasing the threshold for treatment eligibility from 350 to 500 cells/μL to anticipate effects of current global efforts to treat all PLWHs. METHODS AND FINDINGS: We analyzed antiretroviral therapy (ART)-naïve adults who newly enrolled in HIV care in a network of 64 clinics operated by the Zambian Ministry of Health and supported by the Centre for Infectious Disease Research in Zambia (CIDRZ). Patients were restricted to those enrolling in a narrow window around the April 1, 2014 change to Zambian HIV treatment guidelines that raised the CD4 threshold for treatment from 350 to 500 cells/μL (i.e., August 1, 2013, to November 1, 2014). Clinical and sociodemographic data were obtained from an electronic medical record system used in routine care. We used a regression discontinuity design to estimate the effects of this change in treatment eligibility on ART initiation within 3 months of enrollment, retention in care at 6 months (defined as clinic attendance between 3 and 9 months after enrollment), and a composite of both ART initiation by 3 months and retention in care at 6 months in all new enrollees. We also performed an instrumental variable (IV) analysis to quantify the effect of actually initiating ART because of this guideline change on retention. Overall, 34,857 ART-naïve patients (39.1% male, median age 34 years [IQR 28-41], median CD4 268 cells/μL [IQR 134-430]) newly enrolled in HIV care during this period; 23,036 were analyzed after excluding patients around the threshold to allow for clinic-to-clinic variations in actual guideline uptake. In all newly enrolling patients, expanding the CD4 threshold for treatment from 350 to 500 cells/μL was associated with a 13.6% absolute increase in ART initiation within 3 months of enrollment (95% CI, 11.1%-16.2%), a 4.1% absolute increase in retention at 6 months (95% CI, 1.6%-6.7%), and a 10.8% absolute increase in the percentage of patients who initiated ART by 3 months and were retained at six months (95% CI, 8.1%-13.5%). These effects were greatest in patients who would have become newly eligible for ART with the change in guidelines: a 43.7% increase in ART initiation by 3 months (95% CI, 37.5%-49.9%), 13.6% increase in retention at six months (95% CI, 7.3%-20.0%), and a 35.5% increase in the percentage of patients on ART at 3 months and still in care at 6 months [95% CI, 29.2%-41.9%). We did not observe decreases in ART initiation or retention in patients not directly targeted by the guideline change. An IV analysis found that initiating ART in response to the guideline change led to a 37.9% (95% CI, 28.8%-46.9%) absolute increase in retention in care. Limitations of this study include uncertain generalizability under newer models of care, lack of laboratory data (e.g., viral load), inability to account for earlier stages in the HIV care cascade (e.g., HIV testing and linkage), and potential for misclassification of eligibility status or outcome. CONCLUSIONS: In this study, guidelines raising the CD4 threshold for treatment from 350 to 500 cells/μL were associated with a rapid rise in ART initiation as well as enhanced retention among newly treatment-eligible patients, without negatively impacting patients with lower CD4 levels. These data suggest that health systems in Zambia and other high-prevalence settings could substantially enhance engagement even among those with high CD4 levels (i.e., above 500 cells/μL) by expanding treatment without undermining existing care standards.Item Integrating isoniazid preventive therapy into the fast-track HIV treatment model in urban Zambia: A proof-of -concept pilot project.(2023) Mukumbwa-Mwenechanya M; Mubiana M; Somwe P; Zyambo K; Simwenda M; Zongwe N; Kalunkumya E; Mwango LK; Rabkin M; Mpesela F; Chungu F; Mwanza F; Preko P; Bolton-Moore C; Bosomprah S; Sharma A; Morton K; Kasonde P; Mulenga L; Lingu P; Mulenga PL; ICAP at Columbia University and Departments of Medicine & Epidemiology, New York, New York, United States of America.; ICAP at Columbia University, Mbabane, Eswatini.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.; Network of Zambian People Living with HIV, Lusaka, Zambia.; Clinton Health Access, Lusaka, Zambia.; ICAP at Columbia University, Lusaka, Zambia.; Columbia University Mailman School of Public Health, New York, New York, United States of America.; Ministry of Health, Lusaka, Zambia.; CIHEB, Lusaka, Zambia.; JSI USAID SAFE, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Treatment Advocacy and Literacy Campaign, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)Most people living with HIV (PLHIV) established on treatment in Zambia receive multi-month prescribing and dispensing (MMSD) antiretroviral therapy (ART) and are enrolled in less-intensive differentiated service delivery (DSD) models such as Fast Track (FT), where clients collect ART every 3-6 months and make clinical visits every 6 months. In 2019, Zambia introduced Isoniazid Preventive Therapy (IPT) with scheduled visits at 2 weeks and 1, 3, and 6 months. Asynchronous IPT and HIV appointment schedules were inconvenient and not client centered. In response, we piloted integrated MMSD/IPT in FT HIV treatment model. We implemented and evaluated a proof-of-concept project at one purposively selected high-volume facility in Lusaka, Zambia between July 2019 and May 2020. We sensitized stakeholders, adapted training materials, standard operating procedures, and screened adults in FT for TB as per national guidelines. Participants received structured TB/IPT education, 6-month supply of isoniazid and ART, aligned 6th month IPT/MMSD clinic appointment, and phone appointments at 2 weeks and months 1-5 following IPT initiation. We used descriptive statistics to characterize IPT completion rates, phone appointment keeping, side effect frequency and Fisher's exact test to determine variation by participant characteristics. Key lessons learned were synthesized from monthly meeting notes. 1,167 clients were screened with 818 (70.1%) enrolled, two thirds (66%) were female and median age 42 years. 738 (90.2%) completed 6-month IPT course and 66 (8.1%) reported IPT-related side effects. 539 clients (65.9%) attended all 7 telephone appointments. There were insignificant differences of outcomes by age or sex. Lessons learnt included promoting project ownership, client empowerment, securing supply chain, adapting existing processes, and cultivating collaborative structured learning. Integrating multi-month dispensing and telephone follow up of IPT into the FT HIV treatment model is a promising approach to scaling-up TB preventive treatment among PLHIV, although limited by barriers to consistent phone access.Item Longitudinal Care Cascade Outcomes Among People Eligible for Antiretroviral Therapy Who Are Newly Linking to Care in Zambia: A Multistate Analysis.(2020-Dec-17) Mody A; Glidden DV; Eshun-Wilson I; Sikombe K; Simbeza S; Mukamba N; Somwe P; Beres LK; Pry J; Bolton-Moore C; Padian N; Holmes CB; Sikazwe I; Geng EH; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA.; Division of Epidemiology, University of California, Berkeley, Berkeley, California, USA.; Division of Infectious Diseases, University of Alabama, Birmingham, Alabama, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.; Department of International Health, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA.; Department of Medicine, Georgetown University, Washington, D.C., USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Retention in human immunodeficiency virus (HIV) care is dynamic, with patients frequently transitioning in and out of care. Analytical approaches (eg, survival analyses) commonly used to assess HIV care cascade outcomes fail to capture such transitions and therefore incompletely represent care outcomes over time. METHODS: We analyzed antiretroviral therapy (ART)-eligible adults newly linking to care at 64 clinics in Zambia between 1 April 2014 and 31 July 2015. We used electronic medical record data and supplemented these with updated care outcomes ascertained by tracing a multistage random sample of patients lost to follow-up (LTFU, >90 days late for last appointment). We performed multistate analyses, incorporating weights from sampling, to estimate the prevalence of 9 care states over time since linkage with respect to ART initiation, retention in care, transfers, and mortality. RESULTS: In sum, 23 227 patients (58% female; median age 34 years [interquartile range 28-41]) were ART-eligible at enrollment. At 1 year, 75.2% had initiated ART and were in care: 61.8% were continuously retained, 6.1% had reengaged after LTFU, and 7.3% had transferred. Also, 10.1% were LTFU within 7 days of enrollment, and 15.2% were LTFU at 1 year (6.7% prior to ART). One year after LTFU, 51.6% of those LTFU prior to ART remained out of care compared to 30.2% of those LTFU after initiating ART. Overall, 6.9% of patients had died by 1 year with 3.0% dying prior to ART. CONCLUSION: Multistate analyses provide more complete assessments of longitudinal HIV cascade outcomes and reveal treatment gaps at distinct timepoints in care that will still need to be addressed even with universal treatment.Item Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis.(2019-Oct) Mody A; Eshun-Wilson I; Sikombe K; Schwartz SR; Beres LK; Simbeza S; Mukamba N; Somwe P; Bolton-Moore C; Padian N; Holmes CB; Sikazwe I; Geng EH; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.; Division of HIV, ID and Global Medicine, University of California, San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, United States of America.; Division of Epidemiology, University of California, Berkeley, California, United States of America.; Department of Medicine, Georgetown University, Washington, District of Columbia, United States of America.; Division of Infectious Diseases, University of Alabama at Birmingham, Alabama, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Retention in HIV treatment must be improved to advance the HIV response, but research to characterize gaps in retention has focused on estimates from single time points and population-level averages. These approaches do not assess the engagement patterns of individual patients over time and fail to account for both their dynamic nature and the heterogeneity between patients. We apply group-based trajectory analysis-a special application of latent class analysis to longitudinal data-among new antiretroviral therapy (ART) starters in Zambia to identify groups defined by engagement patterns over time and to assess their association with mortality. METHODS AND FINDINGS: We analyzed a cohort of HIV-infected adults who newly started ART between August 1, 2013, and February 1, 2015, across 64 clinics in Zambia. We performed group-based multi-trajectory analysis to identify subgroups with distinct trajectories in medication possession ratio (MPR, a validated adherence metric based on pharmacy refill data) over the past 3 months and loss to follow-up (LTFU, >90 days late for last visit) among patients with at least 180 days of observation time. We used multinomial logistic regression to identify baseline factors associated with belonging to particular trajectory groups. We obtained Kaplan-Meier estimates with bootstrapped confidence intervals of the cumulative incidence of mortality stratified by trajectory group and performed adjusted Poisson regression to estimate adjusted incidence rate ratios (aIRRs) for mortality by trajectory group. Inverse probability weights were applied to all analyses to account for updated outcomes ascertained from tracing a random subset of patients lost to follow-up as of July 31, 2015. Overall, 38,879 patients (63.3% female, median age 35 years [IQR 29-41], median enrollment CD4 count 280 cells/μl [IQR 146-431]) were included in our cohort. Analyses revealed 6 trajectory groups among the new ART starters: (1) 28.5% of patients demonstrated consistently high adherence and retention; (2) 22.2% showed early nonadherence but consistent retention; (3) 21.6% showed gradually decreasing adherence and retention; (4) 8.6% showed early LTFU with later reengagement; (5) 8.7% had early LTFU without reengagement; and (6) 10.4% had late LTFU without reengagement. Identified groups exhibited large differences in survival: after adjustment, the "early LTFU with reengagement" group (aIRR 3.4 [95% CI 1.2-9.7], p = 0.019), the "early LTFU" group (aIRR 6.4 [95% CI 2.5-16.3], p < 0.001), and the "late LTFU" group (aIRR 4.7 [95% CI 2.0-11.3], p = 0.001) had higher rates of mortality as compared to the group with consistently high adherence/retention. Limitations of this study include using data observed after baseline to identify trajectory groups and to classify patients into these groups, excluding patients who died or transferred within the first 180 days, and the uncertain generalizability of the data to current care standards. CONCLUSIONS: Among new ART starters in Zambia, we observed 6 patient subgroups that demonstrated distinctive engagement trajectories over time and that were associated with marked differences in the subsequent risk of mortality. Further efforts to develop tailored intervention strategies for different types of engagement behaviors, monitor early engagement to identify higher-risk patients, and better understand the determinants of these heterogeneous behaviors can help improve care delivery and survival in this population.Item Mortality estimates by age and sex among persons living with HIV after ART initiation in Zambia using electronic medical records supplemented with tracing a sample of lost patients: A cohort study.(2020-May) Kerkhoff AD; Sikombe K; Eshun-Wilson I; Sikazwe I; Glidden DV; Pry JM; Somwe P; Beres LK; Simbeza S; Mwamba C; Bukankala C; Hantuba C; Moore CB; Holmes CB; Padian N; Geng EH; Georgetown University, Washington, District of Columbia, United States of America.; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, San Francisco, California, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; Division of Infectious Diseases, Department of Medicine, Washington University, St. Louis, Missouri, United States of America.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; Center for Dissemination and Implementation, Institute for Public Health, Washington University, St. Louis, Missouri, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Men in sub-Saharan Africa have lower engagement and retention in HIV services compared to women, which may result in differential survival. However, the true magnitude of difference in HIV-related mortality between men and women receiving antiretroviral therapy (ART) is incompletely characterized. METHODS AND FINDINGS: We evaluated HIV-positive adults ≥18 years old newly initiating ART in 4 Zambian provinces (Eastern, Lusaka, Southern, and Western). In addition to mortality data obtained from routine electronic medical records, we intensively traced a random sample of patients lost to follow-up (LTFU) and incorporated tracing outcomes through inverse probability weights. Sex-specific mortality rates and rate differences were determined using Poisson regression. Parametric g-computation was used to estimate adjusted mortality rates by sex and age. The study included 49,129 adults newly initiated on ART between August 2013 and July 2015; overall, the median age among patients was 35 years, the median baseline CD4 count was 262 cells/μl, and 37.2% were men. Men comprised a smaller proportion of individuals starting ART (37.2% versus 62.8%), tended to be older (median age 37 versus 33 years), and tended to have lower CD4 counts (median 220 versus 289 cells/μl) at the time of ART initiation compared to women. The overall rate of mortality among men was 10.3 (95% CI 8.2-12.4) deaths/100 person-years (PYs), compared to 5.5 (95% CI 4.3-6.8) deaths/100 PYs among women (difference +4.7 [95% CI 2.3-7.2] deaths/100 PYs; p < 0.001). Compared to women in the same age groups, men's mortality rates were particularly elevated among those <30 years old (+6.7 deaths/100 PYs difference), those attending rural health centers (+9.4 deaths/100 PYs difference), those who had an initial CD4 count < 100 cells/μl (+9.2 deaths/100 PYs difference), and those who were unmarried (+8.0 deaths/100 PYs difference). After adjustment for potential confounders and mediators including CD4 count, a substantially higher mortality rate was predicted among men <30 years old compared to women of the same age, while women ≥50 years old had a mortality rate similar to that of age-matched men, but considerably higher than that predicted among young women (<30 years old). No clinically significant differences were evident with respect to rates of facility transfer or care disengagement between men and women. The main study limitations were the inability to successfully ascertain outcomes in all patients selected for tracing and missing clinical and laboratory data due to the use of medical records. CONCLUSIONS: In this study, we found that among HIV-positive adults newly initiating ART, mortality among men exceeded mortality among women; disparities were most pronounced among young patients. Older women, however, also experienced high mortality. Specific interventions for men and older women at highest mortality risk are needed to improve HIV treatment outcomes.Item Participation in adherence clubs and on-time drug pickup among HIV-infected adults in Zambia: A matched-pair cluster randomized trial.(2020-Jul) Roy M; Bolton-Moore C; Sikazwe I; Mukumbwa-Mwenechanya M; Efronson E; Mwamba C; Somwe P; Kalunkumya E; Lumpa M; Sharma A; Pry J; Mutale W; Ehrenkranz P; Glidden DV; Padian N; Topp S; Geng E; Holmes CB; University of California, Davis, Davis, California, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; University of Alabama, Tuscaloosa, Alabama, United States of America.; Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.; James Cook University, Townsville, Queensland, Australia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of California, San Francisco, San Fancisco, California, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; Center for Global Health Practice and Impact, Georgetown University School of Medicine, Washington, District of Columbia, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Current models of HIV service delivery, with frequent facility visits, have led to facility congestion, patient and healthcare provider dissatisfaction, and suboptimal quality of services and retention in care. The Zambian urban adherence club (AC) is a health service innovation designed to improve on-time drug pickup and retention in HIV care through off-hours facility access and pharmacist-led group drug distribution. Similar models of differentiated service delivery (DSD) have shown promise in South Africa, but observational analyses of these models are prone to bias and confounding. We sought to evaluate the effectiveness and implementation of ACs in Zambia using a more rigorous study design. METHODS AND FINDINGS: Using a matched-pair cluster randomized study design (ClinicalTrials.gov: NCT02776254), 10 clinics were randomized to intervention (5 clinics) or control (5 clinics). At each clinic, between May 19 and October 27, 2016, a systematic random sample was assessed for eligibility (HIV+, age ≥ 14 years, on ART >6 months, not acutely ill, CD4 count not <200 cells/mm3) and willingness to participate in an AC. Clinical and antiretroviral drug pickup data were obtained through the existing electronic medical record. AC meeting attendance data were collected at intervention facilities prospectively through October 28, 2017. The primary outcome was time to first late drug pickup (>7 days late). Intervention effect was estimated using unadjusted Kaplan-Meier survival curves and a Cox proportional hazards model to derive an adjusted hazard ratio (aHR). Medication possession ratio (MPR) and implementation outcomes (adoption, acceptability, appropriateness, feasibility, and fidelity) were additionally evaluated as secondary outcomes. Baseline characteristics were similar between 571 intervention and 489 control participants with respect to median age (42 versus 41 years), sex (62% versus 66% female), median time since ART initiation (4.8 versus 5.0 years), median CD4 count at study enrollment (506 versus 533 cells/mm3), and baseline retention (53% versus 55% with at least 1 late drug pickup in previous 12 months). The rate of late drug pickup was lower in intervention participants compared to control participants (aHR 0.26, 95% CI 0.15-0.45, p < 0.001). Median MPR was 100% in intervention participants compared to 96% in control participants (p < 0.001). Although 18% (683/3,734) of AC group meeting visits were missed, on-time drug pickup (within 7 days) still occurred in 51% (350/683) of these missed visits through alternate means (use of buddy pickup or early return to the facility). Qualitative evaluation suggests that the intervention was acceptable to both patients and providers. While patients embraced the convenience and patient-centeredness of the model, preference for traditional adherence counseling and need for greater human resources influenced intervention appropriateness and feasibility from the provider perspective. The main limitations of this study were the small number of clusters, lack of viral load data, and relatively short follow-up period. CONCLUSIONS: ACs were found to be an effective model of service delivery for reducing late ART drug pickup among HIV-infected adults in Zambia. Drug pickup outside of group meetings was relatively common and underscores the need for DSD models to be flexible and patient-centered if they are to be effective. TRIAL REGISTRATION: ClinicalTrials.gov NCT02776254.Item Patient-reported Reasons for Stopping Care or Switching Clinics in Zambia: A Multisite, Regionally Representative Estimate Using a Multistage Sampling-based Approach in Zambia.(2021-Oct-05) Sikazwe I; Eshun-Wilson I; Sikombe K; Beres LK; Somwe P; Mody A; Simbeza S; Bukankala C; Glidden DV; Mulenga LB; Padian N; Ehrenkranz P; Bolton-Moore C; Holmes CB; Geng EH; Washington University in St Louis, St Louis, Missouri, USA.; University of California Berkeley, Berkeley, California, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; London School of Hygiene and Tropical Medicine, London, United Kingdom.; University of Alabama at Birmingham, Birmingham, Alabama, USA.; Ministry of Health, Lusaka, Zambia.; Bill and Melinda Gates Foundation, Seattle, Washington, USA.; Johns Hopkins University, Baltimore, Maryland, USA.; Georgetown University, Washington, D.C., USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Understanding patient-reported reasons for lapses of retention in human immunodeficiency virus (HIV) treatment can drive improvements in the care cascade. A systematic assessment of outcomes among a random sample of patients lost to follow-up (LTFU) from 32 clinics in Zambia to understand the reasons for silent transfers and disengagement from care was undertaken. METHODS: We traced a simple random sample of LTFU patients (>90 days from last scheduled visit) as determined from clinic-based electronic medical records from a probability sample of facilities. Among patients found in person, we solicited reasons for either stopping or switching care and predictors for re-engagement. We coded reasons into structural, psychosocial, and clinic-based barriers. RESULTS: Among 1751 LTFU patients traced and found alive, 31% of patients starting antiretroviral therapy (ART) between 1 July 2013 and 31 July 2015 silently transferred or were disengaged (40% male; median age, 35 years; median CD4 level, 239 cells/μL); median time on ART at LTFU was 480 days (interquartile range, 110-1295). Among the 544 patients not in care, median prevalences for patient-reported structural, psychosocial, and clinic-level barriers were 27.3%, 13.9%, and 13.4%, respectively, and were highly variable across facilities. Structural reasons, including, "relocated to a new place" were mostly cited among 289 patients who silently transferred (35.5%). We found that men were less likely to re-engage in care than women (odds ratio, .39; 95% confidence interval, .22-.67; P = .001). CONCLUSIONS: Efforts to improve retention of patients on ART may need to be tailored at the facility level to address patient-reported barriers.Item Patterns and Predictors of Incident Return to HIV Care Among Traced, Disengaged Patients in Zambia: Analysis of a Prospective Cohort.(2021-Mar-01) Beres LK; Schwartz S; Simbeza S; McGready J; Eshun-Wilson I; Mwamba C; Sikombe K; Topp SM; Somwe P; Mody A; Mukamba N; Ehrenkranz PD; Padian N; Pry J; Moore CB; Holmes CB; Sikazwe I; Denison JA; Geng E; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; Department of Medicine, Georgetown University, Washington, DC.; The Bill & Melinda Gates Foundation, Seattle, WA.; Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL.; Division of Epidemiology, University of California Berkeley, Berkeley, CA; and.; Division of Infectious Diseases, Washington University School of Medicine, University of Washington, St. Louis, St. Louis, MO.; College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Dynamic movement of patients in and out of HIV care is prevalent, but there is limited information on patterns of patient re-engagement or predictors of return to guide HIV programs to better support patient engagement. METHODS: From a probability-based sample of lost to follow-up, adult patients traced by peer educators from 31 Zambian health facilities, we prospectively followed disengaged HIV patients for return clinic visits. We estimated the cumulative incidence of return and the time to return using Kaplan-Meier methods. We used univariate and multivariable Cox proportional hazards regression to conduct a risk factor analysis identifying predictors of incident return across a social ecological framework. RESULTS: Of the 556 disengaged patients, 73.0% [95% confidence interval (CI): 61.0 to 83.8] returned to HIV care. The median follow-up time from disengagement was 32.3 months (interquartile range: 23.6-38.9). The rate of return decreased with time postdisengagement. Independent predictors of incident return included a previous gap in care [adjusted Hazard Ratio (aHR): 1.95, 95% CI: 1.23 to 3.09] and confronting a stigmatizer once in the past year (aHR: 2.14, 95% CI: 1.25 to 3.65). Compared with a rural facility, patients were less likely to return if they sought care from an urban facility (aHR: 0.68, 95% CI: 0.48 to 0.96) or hospital (aHR: 0.52, 95% CI: 0.33 to 0.82). CONCLUSIONS: Interventions are needed to hasten re-engagement in HIV care. Early and differential interventions by time since disengagement may improve intervention effectiveness. Patients in urban and tertiary care settings may need additional support. Improving patient resilience, outreach after a care gap, and community stigma reduction may facilitate return. Future re-engagement research should include causal evaluation of identified factors.Item Prevalence and interpretation of Xpert(2022-Mar-21) Chilukutu L; Mwanza W; Kerkhoff AD; Somwe P; Kagujje M; Muyoyeta M; Centre for Infectious Disease Research in Zambia, TB Department, Lusaka Zambia.; Division of HIV, Infectious Diseases and Global Medicine Zuckerberg San Francisco General Hospital and Trauma Center University of California, San Francisco, San Francisco, CA, USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: The "trace call" results on Xpert® Ultra indicates extremely low TB levels and may be difficult to interpret. The prevalence of trace results among presumptive TB patients in high TB-HIV infection settings is unknown, as is the significance of divergent "trace call" result interpretations. METHODS: Presumptive TB patients attending a public health facility in Lusaka, Zambia, were prospectively enrolled. Participants underwent several TB investigations, including sputum smear microscopy, Ultra testing, and culture. The diagnostic accuracy of Ultra (culture-based reference) and the number of patients recommended for TB treatment was assessed according to several different interpretation criteria for "trace call" results. RESULTS: Among the 740 participants, 78 (10.5%) were Ultra-positive and an additional 37 (5.0%) had a "trace call" result. The prevalence of trace results did not differ according to HIV status (5.3% vs. 4.8%) or prior TB status (5.6% vs. 4.9%). Differing interpretations of trace results had modest effects on Ultra's sensitivity (range 79.3-82.6%) and specificity (range 94.3-99.2%), but increased the number of patients recommended for treatment by up to 44.9%. CONCLUSIONS: Ultra trace results were common in this setting. The interpretation of trace results may substantially impact TB case yield.Item Prevalence of Diarrhoeagenic(2023-Nov-17) Mwape K; Bosomprah S; Chibesa K; Silwamba S; Luchen CC; Sukwa N; Mubanga C; Phiri B; Chibuye M; Liswaniso F; Somwe P; Chilyabanyama O; Chisenga CC; Muyoyeta M; Simuyandi M; Barnard TG; Chilengi R; Division of Medical Microbiology, Department of Pathology, Stellenbosch University & National Health Laboratory Service, Tygerberg Hospital Francie van Zijl Drive, P.O. Box 241, Cape Town 8000, South Africa.; Department of Global Health, Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.; Amsterdam Institute of Infection and Immunity, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands.; Department of Basic Medical Sciences, Michael Chilufya Sata School of Medicine, Copperbelt University, Ndola P.O. Box 71191, Zambia.; Department of Biostatistics, School of Public Health, University of Ghana, Accra P.O. Box LG13, Ghana.; Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa.; Enteric Disease and Vaccine Research Unit, Center for Infectious Disease Research in Zambia, Lusaka P.O. Box 34681, Zambia.; Water and Health Research Center, Faculty of Health Sciences, University of Johannesburg, P.O. Box 17011, Doornfontein 2028, South Africa.; Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka P.O. Box 50110, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)Diarrhoea is a major contributor to childhood morbidity and mortality in developing countries, with diarrhoeagenicItem Programme science in action: lessons from an observational study of HIV prevention programming for key populations in Lusaka, Zambia.(2024-Jul) Sikazwe I; Musheke M; Chiyenu K; Ngosa B; Pry JM; Mulubwa C; Zimba M; Sakala M; Sakala M; Somwe P; Nyirenda G; Savory T; Bolton-Moore C; Herce ME; Tithandizeni Umoyo Network, Lusaka, Zambia.; Zambia Sex Workers Alliance, Lusaka, Zambia.; Department of Public Health Sciences, School of Medicine, University of California, Davis, California, USA.; Intersex Society of Zambia, Lusaka, Zambia.; Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, North Carolina, USA.; Division of Infectious Diseases, Department of Medicine, University of Alabama, Birmingham, Alabama, USA.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.INTRODUCTION: Optimizing uptake of pre-exposure prophylaxis (PrEP) for individuals at risk of HIV acquisition has been challenging despite clear scientific evidence and normative guidelines, particularly for key populations (KPs) such as men who have sex with men (MSM), female sex workers (FSWs), transgender (TG) people and persons who inject drugs (PWID). Applying an iterative Programme Science cycle, building on the effective programme coverage framework, we describe the approach used by the Centre for Infectious Disease Research in Zambia (CIDRZ) to scale up PrEP delivery and address inequities in PrEP access for KP in Lusaka, Zambia. METHODS: In 2019, CIDRZ partnered with 10 local KP civil society organizations (CSOs) and the Ministry of Health (MOH) to offer HIV services within KP-designated community safe spaces. KP CSO partners led KP mobilization, managed safe spaces and delivered peer support; MOH organized clinicians and clinical commodities; and CIDRZ provided technical oversight. In December 2021, we introduced a community-based intervention focused on PrEP delivery in venues where KP socialize. We collected routine programme data from September 2019 to June 2023 using programme-specific tools and the national electronic health record. We estimated the before-after effects of our intervention on PrEP uptake, continuation and equity for KP using descriptive statistics and interrupted time series regression, and used mixed-effects regression to estimate marginal probabilities of PrEP continuity. RESULTS: Most (25,658) of the 38,307 (67.0%) Key Population Investment Fund beneficiaries were reached with HIV prevention services at community-based venues. In total, 23,527 (61.4%) received HIV testing services, with 15,508 (65.9%) testing HIV negative and found PrEP eligible, and 15,241 (98.3%) initiating PrEP. Across all programme quarters and KP types, PrEP uptake was >90%. After introducing venue-based PrEP delivery, PrEP uptake (98.7% after vs. 96.5% before, p < 0.001) and the number of initiations (p = 0.014) increased significantly. The proportion of KP with ≥1 PrEP continuation visit within 6 months of initiation was unchanged post-intervention (46.7%, 95% confidence interval [CI]: 45.7%, 47.6%) versus pre-intervention (47.2%, 95% CI: 45.4%, 49.1%). CONCLUSIONS: Applying Programme Science principles, we demonstrate how decentralizing HIV prevention services to KP venues and safe spaces in partnership with KP CSOs enabled successful community-based PrEP delivery beyond the reach of traditional facility-based services.Item Retention and viral suppression in a cohort of HIV patients on antiretroviral therapy in Zambia: Regionally representative estimates using a multistage-sampling-based approach.(2019-May) Sikazwe I; Eshun-Wilson I; Sikombe K; Czaicki N; Somwe P; Mody A; Simbeza S; Glidden DV; Chizema E; Mulenga LB; Padian N; Duncombe CJ; Bolton-Moore C; Beres LK; Holmes CB; Geng E; University of California, San Francisco, San Francisco, California, United States of America.; Georgetown University, Washington, District of Columbia, United States of America.; International Association of Providers of AIDS Care, Washington, District of Columbia, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; Ministry of Health, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Although the success of HIV treatment programs depends on retention and viral suppression, routine program monitoring of these outcomes may be incomplete. We used data from the national electronic medical record (EMR) system in Zambia to enumerate a large and regionally representative cohort of patients on treatment. We traced a random sample with unknown outcomes (lost to follow-up) to document true care status and HIV RNA levels. METHODS AND FINDINGS: On 31 July 2015, we selected facilities from 4 provinces in 12 joint strata defined by facility type and province with probability proportional to size. In each facility, we enumerated adults with at least 1 clinical encounter after treatment initiation in the previous 24 months. From this cohort, we identified lost-to-follow-up patients (defined as 90 or more days late for their last appointment), selected a random sample, and intensively reviewed their records and traced them via phone calls and in-person visits in the community. In 1 of 4 provinces, we also collected dried blood spots (DBSs) for plasma HIV RNA testing. We used inverse probability weights to incorporate sampling outcomes into Aalen-Johansen and Cox proportional hazards regression to estimate retention and viremia. We used a bias analysis approach to correct for the known inaccuracy of plasma HIV RNA levels obtained from DBSs. From a total of 64 facilities with 165,464 adults on ART, we selected 32 facilities with 104,966 patients, of whom 17,602 (17%) were lost to follow-up: Those lost to follow-up had median age 36 years, 60% were female (N = 11,241), they had median enrollment CD4 count of 220 cells/μl, and 38% had WHO stage 1 clinical disease (N = 10,690). We traced 2,892 (16%) and found updated outcomes for 2,163 (75%): 412 (19%) had died, 836 (39%) were alive and in care at their original clinic, 457 (21%) had transferred to a new clinic, 255 (12%) were alive and out of care, and 203 (9%) were alive but we were unable to determine care status. Estimates using data from the EMR only suggested that 42.7% (95% CI 38.0%-47.1%) of new ART starters and 72.3% (95% CI 71.8%-73.0%) of all ART users were retained at 2 years. After incorporating updated data through tracing, we found that 77.3% (95% CI 70.5%-84.0%) of new initiates and 91.2% (95% CI 90.5%-91.8%) of all ART users were retained (at original clinic or transferred), indicating that routine program data underestimated retention in care markedly. In Lusaka Province, HIV RNA levels greater than or equal to 1,000 copies/ml were present in 18.1% (95% CI 14.0%-22.3%) of patients in care, 71.3% (95% CI 58.2%-84.4%) of lost patients, and 24.7% (95% CI 21.0%-29.3%). The main study limitations were imperfect response rates and the use of self-reported care status. CONCLUSIONS: In this region of Zambia, routine program data underestimated retention, and the point prevalence of unsuppressed HIV RNA was high when lost patients were accounted for. Viremia was prevalent among patients who unofficially transferred: Sustained engagement remains a challenge among HIV patients in Zambia, and targeted sampling is an effective strategy to identify such gaps in the care cascade and monitor programmatic progress.Item Sensitivity and specificity of CRP and symptom screening as tuberculosis screening tools among HIV-positive and negative outpatients at a primary healthcare facility in Lusaka, Zambia: a prospective cross-sectional study.(2023-Apr-18) Kagujje M; Mwanza W; Somwe P; Chilukutu L; Creswell J; Muyoyeta M; Strategic Information Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Innovations and Grants, Stop TB Partnership, Geneva, Switzerland.; Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia mkagujje@gmail.com.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)OBJECTIVES: To evaluate the performance of point-of-care C-reactive protein (CRP) as a screening tool for tuberculosis (TB) using a threshold of 10 mg/L in both people living with HIV (PLHIV) and HIV-negative individuals and compare it to symptom screening using a composite reference for bacteriological confirmation of TB. METHODS: Prospective cross-sectional study. SETTING: A primary healthcare facility in Lusaka, Zambia. PARTICIPANTS: Consecutive adults (≥18 years) presenting for routine outpatient healthcare were enrolled. Of the 816 individuals approached to participate in the study, 804 eligible consenting adults were enrolled into the study, of which 783 were included in the analysis. PRIMARY OUTCOME MEASURES: Sensitivity, specificity, positive predictive value and negative predictive value (NPV) of CRP and symptom screening. RESULTS: Overall, sensitivity of WHO-recommended four-symptom screen (W4SS) and CRP were 87.2% (80.0-92.5) and 86.6% (79.6-91.8) while specificity was 30.3% (26.7-34.1) and 34.8% (31.2-38.6), respectively. Among PLHIV, sensitivity of W4SS and CRP was 92.2% (81.1-97.8) and 94.8% (85.6-98.9) while specificity was 37.0% (31.3-43.0) and 27.5% (22.4-33.1), respectively. Among those with CD4≥350, the NPV for CRP was 100% (92.9-100). In the HIV negative, sensitivity of W4SS and CRP was 83.8% (73.4-91.3) and 80.3% (69.5-88.5) while specificity was 25.4% (20.9-30.2) and 40.5% (35.3-45.6), respectively. Parallel use of CRP and W4SS yielded a sensitivity and NPV of 100% (93.8-100) and 100% (91.6-100) among PLHIV and 93.3% (85.1-97.8) and 90.0% (78.2-96.7) among the HIV negatives, respectively. CONCLUSION: Sensitivity and specificity of CRP were similar to symptom screening in HIV-positive outpatients. Independent use of CRP offered limited additional benefit in the HIV negative. CRP can independently accurately rule out TB in PLHIV with CD4≥350. Parallel use of CRP and W4SS improves sensitivity irrespective of HIV status and can accurately rule out TB in PLHIV, irrespective of CD4 count.Item Temporal changes in paediatric and adolescent HIV outcomes across the care continuum in Zambia: an interrupted time-series analysis.(2022-Aug) Bolton-Moore C; Sikazwe I; Mubiana-Mbewe M; Munthali G; Wa Mwanza M; Savory T; Nkhoma L; Somwe P; Namwase AS; Geng EH; Mody A; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Zambian Ministry of Health, Lusaka, Zambia.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of Alabama, Birmingham, AL, USA.; Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA. Electronic address: aaloke.mody@wustl.edu.; Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Paediatric and adolescent HIV treatment programmes in sub-Saharan Africa have rapidly expanded and evolved over the past decade. Real-world evidence of how the implementation of new policies over time has affected treatment outcomes is inadequate, but is crucial for guiding the implementation of the next phases of the HIV treatment response for children. We examined how treatment outcomes in Zambia's national paediatric and adolescent HIV treatment programmes have changed over time as new policies were implemented. METHODS: We used data from Zambia's routine electronic health record to analyse children and adolescents living with HIV who were antiretroviral therapy (ART) naive between the ages of 0 and 19 years who were newly enrolled in care between Jan 1, 2011, and March 31, 2019, at 102 health facilities in Lusaka and Western provinces supported by the Centre for Infectious Disease Research in Zambia. Sociodemographic factors, clinical data, facility-level data, and visit history were obtained from the national electronic health record and laboratory systems used in routine HIV care in Zambia. We aimed to characterise the changes in the distribution of the age and sex of new enrolees over time. We used an interrupted time-series design to examine the rates of ART initiation, retention in care, time to ART initiation, and first-line ART regimens among new enrolees across different age strata as they changed over time with the adoption of new ART guidelines in 2014 and 2017. FINDINGS: Between Jan 1, 2011, and March 31, 2019, 26 214 children and adolescents living with HIV who were ART naïve were newly enrolled at one of 102 ART facilities in two provinces in Zambia. Rates of new enrolees increased by 25-35% among children younger than 15 years over time, but by 92·3% between 2011 and 2017 among adolescents, with the largest absolute increase among adolescent girls. Rates of ART initiation increased steadily and in parallel across all age groups from before the implementation of the 2014 guidelines to after the implementation of the 2017 guidelines (<2 years, 42·4% for 2014 and 81·6% for 2017; 2 to <5 years, 39·3% for 2014 and 82·8% for 2017; 5 to <15 years, 49·2% for 2014 and 86·6% for 2017; 15 to 19 years, 52·4% for 2014 and 86·2% for 2017); median time to ART initiation went from 2-3 months to same-day initiation during this same time period. Rates of retention on ART 6 months after linkage saw much smaller improvements over time (<2 years, 35·4% for 2014 and 52·0% for 2017; 2 to <5 years, 40·2% for 2014 and 54·4% for 2017; 5 to <15 years, 46·7% for 2014 and 63·4% for 2017; 15 to 19 years, 40·1% for 2014 and 52·7% for 2017). INTERPRETATION: Improvements in ART initiation occurred largely in parallel across age groups over time, despite universal treatment being implemented at different timepoints for different ages. Although the rates of ART initiation reach high levels, retention on ART was low. This analysis provides a comprehensive examination of how paediatric and adolescent outcomes have evolved over the past decade in Zambia and identifies where more targeted efforts will be needed over the next decade. FUNDING: National Institutes of Health.Item The effect of tracer contact on return to care among adult, "lost to follow-up" patients living with HIV in Zambia: an instrumental variable analysis.(2021-Dec) Beres LK; Mody A; Sikombe K; Nicholas LH; Schwartz S; Eshun-Wilson I; Somwe P; Simbeza S; Pry JM; Kaumba P; McGready J; Holmes CB; Bolton-Moore C; Sikazwe I; Denison JA; Geng EH; Division of Infectious Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Center for Innovation in Global Health, Georgetown University, Washington, DC, USA.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)INTRODUCTION: Tracing patients lost to follow-up (LTFU) from HIV care is widely practiced, yet we have little knowledge of its causal effect on care engagement. In a prospective, Zambian cohort, we examined the effect of tracing on return to care within 2 years of LTFU. METHODS: We traced a stratified, random sample of LTFU patients who had received HIV care between August 2013 and July 2015. LTFU was defined as a gap of >90 days from last scheduled appointment in the routine electronic medical record. Extracting 2 years of follow-up visit data through 2017, we identified patients who returned. Using random selection for tracing as an instrumental variable (IV), we used conditional two-stage least squares regression to estimate the local average treatment effect of tracer contact on return. We examined the observational association between tracer contact and return among patient sub-groups self-confirmed as disengaged from care. RESULTS: Of the 24,164 LTFU patients enumerated, 4380 were randomly selected for tracing and 1158 were contacted by a tracer within a median of 14.8 months post-loss. IV analysis found that patients contacted by a tracer because they were randomized to tracing were no more likely to return than those not contacted (adjusted risk difference [aRD]: 3%, 95% CI: -2%, 8%, p = 0.23). Observational data showed that among contacted, disengaged patients, the rate of return was higher in the week following tracer contact (IR 5.74, 95% CI: 3.78-8.71) than in the 2 weeks to 1-month post-contact (IR 2.28, 95% CI: 1.40-3.72). There was a greater effect of tracing among patients lost for >6 months compared to those contacted within 3 months of loss. CONCLUSIONS: Overall, tracer contact did not causally increase LTFU patient return to HIV care, demonstrating the limited impact of tracing in this program, where contact occurred months after patients were LTFU. However, observational data suggest that tracing may speed return among some LTFU patients genuinely out-of-care. Further studies may improve tracing effectiveness by examining the mechanisms underlying the impact of tracing on return to care, the effect of tracing at different times-since-loss and using more accurate identification of patients who are truly disengaged to target tracing.